{"id":"https://openalex.org/W3211137236","doi":"https://doi.org/10.1007/s42001-021-00150-8","title":"A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic","display_name":"A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3211137236","doi":"https://doi.org/10.1007/s42001-021-00150-8","mag":"3211137236","pmid":"https://pubmed.ncbi.nlm.nih.gov/34697602"},"language":"en","primary_location":{"id":"doi:10.1007/s42001-021-00150-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-021-00150-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-021-00150-8.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2717","issn":["2432-2717","2432-2725"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Social Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42001-021-00150-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036845513","display_name":"Charalampos Ntompras","orcid":null},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Charalampos Ntompras","raw_affiliation_strings":["School of Medicine, Democritus University of Thrace, Alexandroupoli, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, Democritus University of Thrace, Alexandroupoli, Greece","institution_ids":["https://openalex.org/I147962203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020259169","display_name":"George Drosatos","orcid":"https://orcid.org/0000-0002-8130-5775"},"institutions":[{"id":"https://openalex.org/I4210098364","display_name":"Institute for Language and Speech Processing","ror":"https://ror.org/00z24kr14","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210098364"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"George Drosatos","raw_affiliation_strings":["Institute for Language and Speech Processing, Athena Research Center, Xanthi, Greece"],"raw_orcid":"https://orcid.org/0000-0002-8130-5775","affiliations":[{"raw_affiliation_string":"Institute for Language and Speech Processing, Athena Research Center, Xanthi, Greece","institution_ids":["https://openalex.org/I4210098364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041565548","display_name":"Eleni Kaldoudi","orcid":"https://orcid.org/0000-0002-6054-4961"},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]},{"id":"https://openalex.org/I4210109438","display_name":"European Society of Intensive Care Medicine","ror":"https://ror.org/0222qrf24","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210109438"]}],"countries":["BE","GR"],"is_corresponding":false,"raw_author_name":"Eleni Kaldoudi","raw_affiliation_strings":["European Alliance for Medical and Biological Engineering and Science, Brussels, Belgium","School of Medicine, Democritus University of Thrace, Alexandroupoli, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Alliance for Medical and Biological Engineering and Science, Brussels, Belgium","institution_ids":["https://openalex.org/I4210109438"]},{"raw_affiliation_string":"School of Medicine, Democritus University of Thrace, Alexandroupoli, Greece","institution_ids":["https://openalex.org/I147962203"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020259169"],"corresponding_institution_ids":["https://openalex.org/I4210098364"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":4.5765,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94818369,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"1","first_page":"687","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.8764369487762451},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6698138117790222},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6095550060272217},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5367366671562195},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content analysis","score":0.5138383507728577},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5032243132591248},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.45631206035614014},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4257763624191284},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4015635848045349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38141149282455444},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3597032129764557},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.3083944320678711},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26796436309814453},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.21689951419830322},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.21227684617042542},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.18068280816078186},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15204095840454102},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08675822615623474}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8764369487762451},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6698138117790222},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6095550060272217},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5367366671562195},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.5138383507728577},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5032243132591248},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.45631206035614014},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4257763624191284},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4015635848045349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38141149282455444},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3597032129764557},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3083944320678711},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26796436309814453},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.21689951419830322},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.21227684617042542},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.18068280816078186},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15204095840454102},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08675822615623474},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s42001-021-00150-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-021-00150-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-021-00150-8.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2717","issn":["2432-2717","2432-2725"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Social Science","raw_type":"journal-article"},{"id":"pmid:34697602","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34697602","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of computational social science","raw_type":null},{"id":"pmh:oai:RePEc:spr:jcsosc:v:5:y:2022:i:1:d:10.1007_s42001-021-00150-8","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s42001-021-00150-8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8528186","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8528186","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Comput Soc Sci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s42001-021-00150-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-021-00150-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-021-00150-8.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2717","issn":["2432-2717","2432-2725"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Social Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G33898500","display_name":"Pandemic Virus Trace Application for the Effective Knowledge Transfer Between Science and Society Inside the Quadruple Helix Collaboration","funder_award_id":"101006316","funder_id":"https://openalex.org/F4320337668","funder_display_name":"H2020 Science with and for Society"},{"id":"https://openalex.org/G7331901853","display_name":null,"funder_award_id":"EU H2020","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337668","display_name":"H2020 Science with and for Society","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211137236.pdf","grobid_xml":"https://content.openalex.org/works/W3211137236.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W2058200372","https://openalex.org/W2174706414","https://openalex.org/W2466805460","https://openalex.org/W2553110962","https://openalex.org/W2562321483","https://openalex.org/W2795888367","https://openalex.org/W2885225356","https://openalex.org/W2946414882","https://openalex.org/W3014301954","https://openalex.org/W3015218641","https://openalex.org/W3036400444","https://openalex.org/W3040122176","https://openalex.org/W3041699688","https://openalex.org/W3086191894","https://openalex.org/W3088268279","https://openalex.org/W3092213383","https://openalex.org/W3094012117","https://openalex.org/W3094221957","https://openalex.org/W3094709634","https://openalex.org/W3096204167","https://openalex.org/W3096451393","https://openalex.org/W3097203256","https://openalex.org/W3101574506","https://openalex.org/W3103027218","https://openalex.org/W3107295688","https://openalex.org/W3108150888","https://openalex.org/W3110075606","https://openalex.org/W3112569139","https://openalex.org/W3112800536","https://openalex.org/W3112862621","https://openalex.org/W3112911507","https://openalex.org/W3113167380","https://openalex.org/W3113386470","https://openalex.org/W4238172071","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"The":[0],"COVID-19":[1],"pandemic":[2],"has":[3],"deeply":[4],"impacted":[5],"all":[6],"aspects":[7],"of":[8,42,75,89,114,120,135,158],"social,":[9],"professional,":[10],"and":[11,16,38,62,106,155,166,172],"financial":[12],"life,":[13],"with":[14,54,82,105,146],"concerns":[15],"responses":[17],"being":[18],"readily":[19],"published":[20],"in":[21,91],"online":[22],"social":[23,167],"media":[24],"worldwide.":[25],"This":[26],"study":[27],"employs":[28],"probabilistic":[29],"text":[30],"mining":[31],"techniques":[32],"for":[33,163],"a":[34,79,102,170],"large-scale,":[35],"high-resolution,":[36],"temporal,":[37],"geospatial":[39,156],"content":[40,160],"analysis":[41,69,113,157],"Twitter":[43,159],"related":[44],"discussions.":[45],"Analysis":[46],"considered":[47],"20,230,833":[48],"English":[49,122,137],"language":[50,123,138,149],"original":[51,121],"COVID-19-related":[52],"tweets":[53,124,139],"global":[55,171],"origin":[56],"retrieved":[57],"between":[58],"January":[59],"25,":[60],"2020":[61],"April":[63],"30,":[64],"2020.":[65],"Fine":[66],"grain":[67],"topic":[68],"identified":[70],"91":[71],"meaningful":[72],"topics.":[73],"Most":[74],"the":[76,86,136],"topics":[77,115],"showed":[78,101,116],"temporal":[80,98,154],"evolution":[81],"local":[83],"maxima,":[84],"underlining":[85],"short-lived":[87],"character":[88],"discussions":[90],"Twitter.":[92],"When":[93],"compared":[94],"to":[95,109],"real-world":[96,110],"events,":[97],"popularity":[99],"curves":[100],"good":[103],"correlation":[104],"quick":[107],"response":[108],"triggers.":[111],"Geospatial":[112],"that":[117],"approximately":[118],"30%":[119],"were":[125,140],"contributed":[126,141],"by":[127,142],"USA-based":[128],"users,":[129],"while":[130],"overall":[131],"more":[132],"than":[133,151],"60%":[134],"users":[143],"from":[144],"countries":[145],"an":[147],"official":[148],"other":[150],"English.":[152],"High-resolution":[153],"shows":[161],"potential":[162],"political,":[164],"economic,":[165],"monitoring":[168],"on":[169],"national":[173],"level.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
